NASA Socioeconomic Data and Applications Center (SEDAC) – Hosted by CIESIN at Columbia University
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Population, Landscape, And Climate Estimates (PLACE), v3 (1990, 2000, 2010)

National Aggregates of Geospatial Data Collection (NAGDC)

To provide tabular data to researchers without GIS capabilities who need data on population and land area by country across a range of physical characteristics. These include measures such as the number of persons living within coastal zones, the percent of a region within specific elevation strata, or the number of persons living within different climate zones.

Settlement Points, v1 (1990, 1995, 2000)

Global Rural-Urban Mapping Project (GRUMP), v1

To provide populated place (point) data with consistent population estimates.

Population, Landscape, And Climate Estimates (PLACE), v2 (1990, 2000)

National Aggregates of Geospatial Data Collection (NAGDC)

To provide tabular data on environmental conditions (elevations, climate, coastal) in which people reside.

Urban-Rural Population Estimates, v1 (2000)

Low Elevation Coastal Zone (LECZ)

To provide estimates of urban and rural populations and land areas in the low elevation coastal zone.

Complete Collection, v1.01 (1973 – 2005)

Compendium of Environmental Sustainability Indicators

To make the acquisition, comparison and analysis of sustainability indicators easier by compiling them in a single database, incorporating multiple country codes, and condensing the indicator descriptions into short methodological summaries in an accompanying data dictionary.

Country-Level Population and Downscaled Projections Based on the SRES B2 Scenario, v1 (1990 – 2100)

Socioeconomic Downscaled Projections

To provide data on country-level population and downscaled projections based on the SRES B2 marker scenario.

Country-Level Population and Downscaled Projections Based on the SRES A1, B1, and A2 Scenarios, v1 (1990 – 2100)

Socioeconomic Downscaled Projections

To provide data on country-level population and downscaled projections based on the SRES A1, B1, and A2 marker scenarios.

Population, Landscape, And Climate Estimates (PLACE), v1 (1995)

National Aggregates of Geospatial Data Collection (NAGDC)

To provide tabular data on environmental conditions (elevations, climate, coastal) in which people reside.

ZIP Code Equivalency Files, v1 (1990)

Archive of Census Related Products (ACRP)

To provide population and housing data for the U.S.

Summary Tape File (STF1B), v1 (1990)

Archive of Census Related Products (ACRP)

To provide access to demographic data for the U.S.

SAS Transport Files, v1 (1990)

Archive of Census Related Products (ACRP)

To provide demographic data for the U.S.

Standard Extract Files, v1 (1990)

Archive of Census Related Products (ACRP)

To provide population and housing data for the U.S.

Census Block Statistics, v1 (1990)

Archive of Census Related Products (ACRP)

To provide population and housing data for the U.S.

Street Intersections, v1 (1990)

Archive of Census Related Products (ACRP)

To provide street intersection data for each county in the U.S.

Enhanced Migration Files, v1 (1985 – 1990)

Archive of Census Related Products (ACRP)

To provide migration data at the county and state levels for the U.S.

SAS Transport Files, v1 (1980)

Archive of Census Related Products (ACRP)

To provide access to demographic data for the U.S.

Population Database of Mexico, v1 (1990 – 1990)

Georeferenced Population of Mexico

To provide geographically referenced population data for Mexico for conducting assessments of human interactions with the environment.

Urban Place Time-Series Population of Mexico, v1 (1921 – 1990)

Georeferenced Population of Mexico

To provide time-series population data for Mexico for conducting assessments of human interactions with the environment.

Public Use Microdata Samples (PUMS), v1 (1940 – 1990)

Archive of Census Related Products (ACRP)

To provide US housing and related data for demographic analysis; The samples can be extended to analysis of the whole United States for many purposes. Comparative analysis across different groups is possible using the PUMS data.

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